| Project Name | v1s1 |
| Project Name | v1s1 |
| Cluster # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Cluster density | 198.5 | 85.4 | 83.9 | 82.5 | 78.2 | 75.2 | 65.6 | 57.8 | 57.0 | 51.3 | 40.7 | 33.3 |
| Cluster size | 362 | 196 | 157 | 183 | 193 | 174 | 161 | 159 | 128 | 125 | 95 | 67 |
| Average cluster RMSD | 1.8 | 2.3 | 1.9 | 2.2 | 2.5 | 2.3 | 2.5 | 2.8 | 2.2 | 2.4 | 2.3 | 2.0 |
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RMSD | 8.17 | 8.59 | 8.49 | 8.56 | 8.89 | 9.29 | 8.71 | 8.63 | 8.76 | 8.67 | 8.20 | 8.21 |
| GDT_TS | 0.39 | 0.41 | 0.41 | 0.42 | 0.41 | 0.42 | 0.41 | 0.43 | 0.41 | 0.43 | 0.40 | 0.41 |
The table contains RMSD and GDT_TS values (calculated on the Cα atoms) between the predicted models and the input structure. Note that GDT_TS metric is intended as a more accurate measurement than the more common RMSD.
Read more about the root-mean-square deviation (RMSD) measure
Read more about the global distance test (GDT, also written as GDT_TS to represent "total score") measure.
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 1 | 0.00 | 3.94 | 1.88 | 3.28 | 2.91 | 3.38 | 4.69 | 3.59 | 4.81 | 4.24 | 4.99 | 5.59 |
| 2 | 3.94 | 0.00 | 3.85 | 2.93 | 3.78 | 3.08 | 2.20 | 3.06 | 2.08 | 2.89 | 4.11 | 3.49 |
| 3 | 1.88 | 3.85 | 0.00 | 3.60 | 2.89 | 3.18 | 4.62 | 3.44 | 4.71 | 4.31 | 4.65 | 5.81 |
| 4 | 3.28 | 2.93 | 3.60 | 0.00 | 3.74 | 3.12 | 3.58 | 2.08 | 3.55 | 2.47 | 4.49 | 4.04 |
| 5 | 2.91 | 3.78 | 2.89 | 3.74 | 0.00 | 2.65 | 4.20 | 3.30 | 4.10 | 4.14 | 4.14 | 5.26 |
| 6 | 3.38 | 3.08 | 3.18 | 3.12 | 2.65 | 0.00 | 3.38 | 2.64 | 3.49 | 3.38 | 3.46 | 4.71 |
| 7 | 4.69 | 2.20 | 4.62 | 3.58 | 4.20 | 3.38 | 0.00 | 3.42 | 2.12 | 3.05 | 4.08 | 3.21 |
| 8 | 3.59 | 3.06 | 3.44 | 2.08 | 3.30 | 2.64 | 3.42 | 0.00 | 3.07 | 2.05 | 3.53 | 3.99 |
| 9 | 4.81 | 2.08 | 4.71 | 3.55 | 4.10 | 3.49 | 2.12 | 3.07 | 0.00 | 2.67 | 3.72 | 2.57 |
| 10 | 4.24 | 2.89 | 4.31 | 2.47 | 4.14 | 3.38 | 3.05 | 2.05 | 2.67 | 0.00 | 4.23 | 2.97 |
| 11 | 4.99 | 4.11 | 4.65 | 4.49 | 4.14 | 3.46 | 4.08 | 3.53 | 3.72 | 4.23 | 0.00 | 4.28 |
| 12 | 5.59 | 3.49 | 5.81 | 4.04 | 5.26 | 4.71 | 3.21 | 3.99 | 2.57 | 2.97 | 4.28 | 0.00 |
The table contains RMSD values (calculated on the Cα atoms) between the predicted models.
Read more about the root-mean-square deviation (RMSD) measure.
| # | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 1 | 1.00 | 0.62 | 0.79 | 0.66 | 0.64 | 0.67 | 0.53 | 0.60 | 0.55 | 0.54 | 0.52 | 0.45 |
| 2 | 0.62 | 1.00 | 0.59 | 0.70 | 0.60 | 0.66 | 0.74 | 0.65 | 0.77 | 0.63 | 0.56 | 0.59 |
| 3 | 0.79 | 0.59 | 1.00 | 0.61 | 0.65 | 0.67 | 0.53 | 0.61 | 0.54 | 0.56 | 0.52 | 0.43 |
| 4 | 0.66 | 0.70 | 0.61 | 1.00 | 0.59 | 0.66 | 0.63 | 0.75 | 0.60 | 0.68 | 0.56 | 0.55 |
| 5 | 0.64 | 0.60 | 0.65 | 0.59 | 1.00 | 0.68 | 0.60 | 0.61 | 0.60 | 0.58 | 0.60 | 0.47 |
| 6 | 0.67 | 0.66 | 0.67 | 0.66 | 0.68 | 1.00 | 0.60 | 0.69 | 0.57 | 0.62 | 0.63 | 0.51 |
| 7 | 0.53 | 0.74 | 0.53 | 0.63 | 0.60 | 0.60 | 1.00 | 0.61 | 0.79 | 0.66 | 0.57 | 0.66 |
| 8 | 0.60 | 0.65 | 0.61 | 0.75 | 0.61 | 0.69 | 0.61 | 1.00 | 0.63 | 0.77 | 0.61 | 0.56 |
| 9 | 0.55 | 0.77 | 0.54 | 0.60 | 0.60 | 0.57 | 0.79 | 0.63 | 1.00 | 0.69 | 0.65 | 0.69 |
| 10 | 0.54 | 0.63 | 0.56 | 0.68 | 0.58 | 0.62 | 0.66 | 0.77 | 0.69 | 1.00 | 0.57 | 0.62 |
| 11 | 0.52 | 0.56 | 0.52 | 0.56 | 0.60 | 0.63 | 0.57 | 0.61 | 0.65 | 0.57 | 1.00 | 0.57 |
| 12 | 0.45 | 0.59 | 0.43 | 0.55 | 0.47 | 0.51 | 0.66 | 0.56 | 0.69 | 0.62 | 0.57 | 1.00 |
The table contains GDT_TS values (calculated on the Cα atoms) between the predicted models.
Read more about the global distance test (GDT, also written as GDT_TS to represent "total score") measure.
© Laboratory of Theory of Biopolymers, Faculty of Chemistry, University of Warsaw 2013